Top AI Engineer Jobs

Build and maintain cloud infrastructure and observability for scalable systems. Monitor, troubleshoot, patch, and automate operations using IaC, CI/CD, Kubernetes, and AI-driven automation. Manage backups, disaster recovery, log pipelines, databases, and message streaming. Collaborate with engineering, security, and business teams to improve reliability, incident response, and infrastructure lifecycle (including Terraform state cleanup and decommissioning).

Lead and operate technical support and escalation for Rosalind and life sciences customers. Own complex cases from intake to resolution, diagnose product and configuration issues across ChatGPT, Codex, and the OpenAI API, build bioscience-aware intake flows, playbooks, and knowledge, coordinate cross-functional escalations, and drive durable fixes, automation, and product improvements while maintaining boundaries around scientific consultation.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Design, build, test and support batch and streaming data pipelines and curated datasets on a modern Lakehouse and AI data platform. Responsibilities include data modelling, optimisation, quality controls, reconciliation, platform tooling, and partnering with stakeholders to deliver reliable, production-ready data products.

Design, build, test and support batch and streaming data pipelines and curated datasets on a lakehouse/AI data platform. Work across ingestion, transformation, modeling, optimization, data quality and reconciliation; improve platform tooling and standards; collaborate with stakeholders and lead delivery and technical design for workstreams.

Designs, builds, and operates GenAI cloud platforms across Azure, AWS, and Google. Develops self-service tools, CI/CD pipelines, and Terraform IaC. Troubleshoots performance and availability, automates deployments, supports developer adoption of LLMs and AI services, and leads postmortems and scalability planning.

Drive enterprise adoption of Generative AI and LLMs by discovering and prioritizing use cases, enabling teams via training and coaching, configuring and supporting AI workflows and agents, collaborating with technical and compliance teams, and establishing governance and success metrics.

Own reliability, observability, and delivery for a cloud-native, multi-tenant Kubernetes platform. Build CI/CD, GitOps, IaC, and AI-first automation for incident response and LLM infrastructure. Instrument SLOs and tracing, harden secrets and supply-chain security, troubleshoot production issues, and mentor engineers in AI-driven operations.

Design, build, deploy, and operate production LLM-based solutions and agent workflows. Own reference architecture, integrations, IaC, CI/CD, monitoring, governance, and PHI-safe patterns. Lead cross-functional AI initiatives, vendor evaluations, and mentor engineers to scale secure, measurable AI tooling across the enterprise.

Productionize, optimize, and scale LLM and ML inference across multi-cloud and Kubernetes. Deploy GPU-based workloads, implement routing/failover for model services, reduce latency via quantization/pruning/distillation, profile and tune hardware utilization, and build observability, monitoring, and cloud-native guardrails for enterprise AI services.

Design, build, and operate scalable full‑stack products that integrate state‑of‑the‑art ML models for environmental impact. Own end‑to‑end product lifecycle, production systems (on‑call, troubleshooting, monitoring), collaborate with researchers and partners, and travel to meet users. Contribute technical plans, architecture, and stakeholder communication.

Develop and productionize AI/ML systems across the full lifecycle: design agentic workflows, integrate models into applications, implement multi-agent orchestration, build data pipelines, write scalable code, monitor and optimize production AI, and collaborate with cross-functional teams.

Build and ship AI-driven automation across the go-to-market lifecycle: prospecting, lead routing, deal support, retention, and instrumentation. Design agents and workflows, connect GTM systems and data, deploy and monitor production AI, set guardrails and evals, and partner with Sales, Solutions Architecture, Marketing, and RevOps to measure and improve impact.

Enable end-to-end agentic AI GPU deployments on NVIDIA RTX and DGX by profiling and optimizing performance, contributing to open-source LLM/GenAI projects, delivering trainings and sample code, collaborating with drivers/architecture teams, and mentoring junior engineers.

Lead AI strategy, architecture, and hands-on implementation of secure, scalable production AI systems. Establish MLOps, model governance, and responsible AI practices. Provide technical leadership through design reviews, prototyping, code contributions, mentoring, and cross-team alignment. Work onsite and support program-level AI roadmaps in regulated, high-clearance environments.

Lead research and development of RL/SL algorithms for space autonomy. Prototype in Python/JAX/PyTorch and port to embedded C++/CUDA. Develop physics-based mission planning, anomaly detection, and fused GNC solutions. Drive verification, Monte-Carlo/HIL/PIL campaigns, simulation development, and full software lifecycle for spaceflight systems.

Lead design and implementation of AI-assisted indoor mapping and reality visualization features. Build production C++, C#, and Python components, integrate LLMs and computer vision, mentor engineers, define specs and QA, and collaborate across product, UX, and platform teams to ship robust Indoor GIS solutions.

Develop and prototype AI-powered indoor GIS features across computer vision, 3D graphics, and geospatial workflows. Implement and integrate algorithms, write C++, .NET/C#, and Python code, experiment with LLMs and embeddings, collaborate across teams, participate in Scrum, and produce demos, tests, and documentation to validate AI/ML-driven indoor mapping solutions.

The role involves designing and developing AI and data solutions, collaborating with stakeholders, and operationalizing machine learning models while ensuring data governance and compliance.

Optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. Profile and improve performance across compiler, runtime, and hardware layers, collaborate with ML/compiler/runtime/hardware teams, integrate model and quantization advances, and deliver robust, scalable inference solutions.

Join a talent network connecting Principal AI/ML Engineers with VC-backed startups. Responsibilities include architecting and deploying ML/DL models, researching state-of-the-art AI (LLMs, transformers, RL), building scalable training and inference pipelines, leading AI strategy and technical teams, ensuring robust MLOps, optimizing models for production, and collaborating across engineering, data, and product.

Join a talent network connecting Principal AI/ML Engineers with VC-backed startups. Responsibilities include architecting and deploying production ML/DL models, researching state-of-the-art methods (LLMs, transformers, RL), building scalable training/inference pipelines, implementing robust MLOps, optimizing model performance, and leading technical strategy and teams.

Design, build, and deploy autonomous AI agents using LLMs and agent frameworks; integrate agents into e-commerce and supply chain systems; implement multi-agent orchestration, memory and tool integrations; fine-tune models and apply RL concepts; and build safety, monitoring, and MLOps pipelines.

Design, build, and maintain scalable AI/ML systems and ETL pipelines for cloud operations. Develop AI agents, predictive models (drift and cost anomaly detection), and automations; integrate ML insights with AWS/GCP/Azure; optimize data storage (Snowflake) and querying (Athena); orchestrate workflows with Airflow; conduct code reviews, mentor teammates, and evaluate emerging AI technologies for operational improvements.

As a Founding AI Design Engineer, you will design visual assets and collaborate with engineers to create a platform that integrates AI with design workflows in pharma marketing.